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Summarizing DESeq2 results

NOTE: It may take a bit longer to load this exercise.

Now that we have extracted our results, we can get a nice overview of the number of differentially expressed genes there are for our designated alpha level using the summary() function. It will output the numbers/percentages of up- and down-regulated genes, as well as, give information about independent filtering and outliers removed.

This exercise is part of the course

RNA-Seq with Bioconductor in R

View Course

Exercise instructions

  • Check how many genes are differentially expressed in our results, smoc2_res, using DESeq2's summary() function.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Get an overview of the results                    
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Edit and Run Code